首页|Study Data from Chinese Academy of Agricultural Sciences Provide New Insights in to Machine Learning (A Novel Framework for Multilayer Soil Moisture Estimation With High Spatio-temporal Resolution Based On Data Fusion and Automated Machine …)
Study Data from Chinese Academy of Agricultural Sciences Provide New Insights in to Machine Learning (A Novel Framework for Multilayer Soil Moisture Estimation With High Spatio-temporal Resolution Based On Data Fusion and Automated Machine …)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Fresh data on Machine Learning are pre sented in a new report. According to newsreporting out of Xinxiang, People’s Re public of China, by NewsRx editors, research stated, “High spatiotemporalresolu tion monitoring of multi-layer soil moisture (SM) is crucial for optimizing agri culturalwater management and precision irrigation strategy. However, achieving high temporal resolution at a 30m spatial scale remains challenging given the c onfine of current satellite sensors.”
XinxiangPeople’s Republic of ChinaAs iaCyborgsEmerging TechnologiesMachine LearningChinese Academy of Agricul tural Sciences
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